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Bibliographic record number: 937062

Chapter/Paper in a book

Authors: Tomičić, Igor; Okreša Đurić, Bogdan; Schatten, Markus
Title: Modeling Smart Self-sustainable Cities as Large- Scale Agent Organizations in the IoT Environment
Book: Smart Cities: Development and Governance Frameworks
Editor/s: Mahmood, Zaigham
Publisher: Springer International Publishing
City: Cham
Year: 2018
Serie: Computer Communications and Networks
Page range:: 3-23
ISBN: 978-3-319-76668-3
Keywords: smart cities ; internet of things ; large-scale multi-agent systems ; modeling ; self-sustainability ; resources ; organizational modeling ; sustainability mechanisms ; internet of everything
Abstract:
This chapter provides an overview of modeling techniques for large-scale systems in the Internet of Things (IoT) environment with a special accent on smart self-sustainable cities. The authors present a framework for modeling Large-Scale Multi-Agent Systems (LSMASs) including a graphical modeling language, and a tool, that aim to facilitate development of such systems in a recursive fashion. Smart self- sustainable cities in this chapter are modeled using this language that forms the basis for the Smart Self-Sustainable Human Settlements (SSSHS) framework developed by the authors. The SSSHS framework consists of several sustainability mechanisms which attempt to facilitate the self- sustainability of a human settlement by managing resources such as water, electricity, and heating, based on the current needs, production, and storage using a detailed agent-based methodology. By integrating these two frameworks (LSMAS and SSSHS), the authors show a recursive and layered approach that is able to model large- scale resource management systems in a hierarchical manner by using IoT technologies.
Project / theme: HRZZ-UIP-2013-11-8537
Original language: ENG
Category: Znanstveni
URL: https://link.springer.com/chapter/10.1007%2F978-3-319-76669-0_1
Contrib. to CROSBI by: Bogdan Okreša Đurić (dokresa@foi.hr), 4. Svi. 2018. u 09:47 sati



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